10 citations · 20 across the 7 of their papers we have counts for
8 papers
Designing for the Moment: How One-Minute Interventions Fit or Falter Across Domains
Zahra Hassanzadeh, Anne Hsu, Rachel Kornfield +8
This paper explores the design space for one-minute digital interventions that prompt immediate action without onboarding or sensing. By embracing Fogg's Behavior Model and four de…
The Agony of Opacity: Foundations for Reflective Interpretability in AI-Mediated Mental Health Support
Sachin R. Pendse, Darren Gergle, Rachel Kornfield +6
Throughout history, a prevailing paradigm in mental healthcare has been one in which distressed people may receive treatment with little understanding around how their experience i…
When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines
Sachin R. Pendse, Darren Gergle, Rachel Kornfield +6
Red-teaming is a core part of the infrastructure that ensures that AI models do not produce harmful content. Unlike past technologies, the black box nature of generative AI systems…
Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools
Ananya Bhattacharjee, Joseph Jay Williams, Miranda Beltzer +6
Challenges in engagement with digital mental health (DMH) tools are commonly addressed through technical enhancements and algorithmic interventions. This paper shifts the focus tow…
Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions
Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao +8
Stories about overcoming personal struggles can effectively illustrate the application of psychological theories in real life, yet they may fail to resonate with individuals' exper…
Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness
Harsh Kumar, Suhyeon Yoo, Angela Zavaleta Bernuy +6
Although engagement in self-directed wellness exercises typically declines over time, integrating social support such as coaching can sustain it. However, traditional forms of supp…
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination
Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu +9
Traditional interventions for academic procrastination often fail to capture the nuanced, individual-specific factors that underlie them. Large language models (LLMs) hold immense…
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
Harsh Kumar, Tong Li, Jiakai Shi +11
Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these intervention…